Mastering Long Contexts in LLMs with KVPress

kvpress is useful because the standard attention mechanism is an absolute bottleneck when dealing with large context windows. it forces a more efficient way to manage the key-value cache, which directly impacts latency and memory usage, especially when context stretches past 16k tokens. it solves a specific engineering problem, but it doesn't make context magically infinite.